The FIRST bright quasar survey. II.

DOI

We have used the Very Large Array (VLA) FIRST survey and the Automated Plate Measuring Facility (APM) catalog of the Palomar Observatory Sky Survey I (POSS-I) plates as the basis for constructing a new radio-selected sample of optically bright quasars. This is the first radio-selected sample that is competitive in size with current optically selected quasar surveys. Using only two basic criteria, radio-optical positional coincidence and optical morphology, quasars and BL Lac objects can be identified with 60% selection efficiency; the efficiency increases to 70% for objects fainter than 17 mag. We show that a more sophisticated selection scheme can predict with better than 85% reliability which candidates will turn out to be quasars. This paper presents the second installment of the FIRST Bright Quasar Survey (FBQS), with a catalog of 636 quasars distributed over 2682 deg^2^. The quasar sample is characterized and all spectra are displayed.

Cone search capability for table J/ApJS/126/133/stars (FBQS candidate list: stars and unknown objects)

Cone search capability for table J/ApJS/126/133/fbqs (FIRST Bright Quasar Catalog, part II)

Cone search capability for table J/ApJS/126/133/egal (FBQS candidate list: AGNs and galaxies)

Identifier
DOI http://doi.org/10.26093/cds/vizier.21260133
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJS/126/133
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/126/133
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/126/133
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJS/126/133
Provenance
Creator White R.L.; Becker R.H.; Gregg M.D.; Laurent-Muehleisen S.A.,Brotherton M.S.; Impey C.D.; Petry C.E.; Foltz C.B.; Chaffee F.H.,Richards G.T.; Oegerle W.R.; Helfand D.J.; McMahon R.G.; Cabanela J.E.
Publisher CDS
Publication Year 2008
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Cosmology; Galactic and extragalactic Astronomy; High Energy Astrophysics; Natural Sciences; Physics; Stellar Astronomy